64 tools
PDF rendering library and command-line suite (pdftotext, pdfimages, pdftoppm, pdftocairo, pdftohtml, pdftops, pdfinfo, pdffonts, pdfdetach, pdfattach, pdfseparate, pdfunite, pdfsig) covering text/image extraction, page rendering, format conversion, metadata, attachments, and signature verification.
Command LinePDF viewer plus command-line tools (pdftotext, pdftops, pdftoppm, pdftopng, pdftohtml, pdfinfo, pdfimages, pdffonts, pdfdetach) for viewing PDFs and converting them to text, PostScript, image, or HTML, plus metadata, image, font, and attachment extraction.
Command LinePostScript and PDF interpreter/renderer from Artifex: converts PostScript/PDF to images, text, DOCX, PCL, and XPS; compresses PDFs while preserving quality; converts to/validates PDF/A; adds an OCR text layer to scanned pages; imposition (N-up), ICC color management, and ZUGFeRD/Factur-X e-invoicing support.
Command LineLightweight C library, viewer, and CLI toolset for PDF, XPS, and e-book formats: renders and extracts text/images/metadata/structured content; creates, splits, merges, and compresses PDFs; adds annotations (highlights, stamps, shapes); permanently redacts content; digitally signs documents; converts between PDF, SVG, PNG, HTML, and PostScript; and embeds into web pages/apps.
C#Reads and extracts text, words, letters (with position/font data), images, annotations, hyperlinks, embedded files, and bookmarks from PDFs (port of PDFBox); performs layout/reading-order analysis; supports basic PDF creation, merging, read-only AcroForm inspection, and opening password-protected documents.
C#Open-source .NET PDF document management/storage application: full-text-indexed search across a single-user SQLite database or a shared multi-user (on-premises or cloud) database; bulk or automated upload via watched folders; metadata tagging (title, author, subject, category, keywords); PDF bursting; document-state flags; and notes viewing/editing alongside search-term snippets.
C++Converts PDF to HTML while preserving text/layout fidelity (native positioned text with original fonts), producing a single self-contained file or a paged on-demand-loading version; carries over hyperlinks, outlines/bookmarks, SVG backgrounds, Type 3 and CJK fonts, and print support. Built on Poppler and FontForge; this pdf2htmlEX/pdf2htmlEX fork continues the original coolwanglu/pdf2htmlEX as an open community effort.
C++Command-line tool (built on the Xpdf library) that extracts per-word text with bounding-box coordinates (top/left/width/height) from every page of a PDF and outputs it as structured JSON, along with page dimensions and page count.
C++ library (also known as PDFHummus/PDFWriter, the engine behind HummusJS/Muhammara) for creating, parsing, and modifying PDFs: JPEG/PNG/TIFF image embedding, PDF 2.0 encryption (via OpenSSL), and FreeType-based text rendering.
C++C++17 library for reading, writing, and modifying PDFs: full-featured low-level Unicode text extraction (with CJK support), text drawing with automatic CID encoding and font subsetting, incremental-update saving, PAdES-B digital signing (RSA/ECDSA, async), and PDF/A and PDF/UA compliance preservation when adding annotations or form fields. Does not yet render PDF content, and text shaping/kerning is limited.
GoGo package (rsc.io/pdf) for reading PDF files: opens (optionally password-encrypted) files, reads the page tree, outline/bookmarks, per-page fonts and their metrics, and low-level page content (text runs and drawn rectangles) via a low-level Value/object API. A known unpatched stack-overflow DoS vulnerability is reported against it (GO-2026-5781).
Go library/CLI/HTTP service that converts PDF, DOC, DOCX, XML, HTML, RTF, ODT, Pages, and image files to plain text and metadata (JSON), with optional OCR support (via Tesseract, built with the `ocr` tag) for image-based input.
Go PDF library (pure Go): generates reports/invoices with styled text and tables; creates and fills forms; merges, splits, reorders, and rotates pages (incl. N-up layouts); extracts text (with position/formatting), images, and tabular data to CSV; adds/converts images to PDF; removes or adds password protection; validates and applies digital signatures; compresses/optimizes files; adds watermarks; and supports CCITTFax/JBIG2 image decoding.
GoGo wrapper around the Tesseract OCR C++ library: sets an input image and returns the OCR'd text, with support for multiple languages via trained-data files.
GoSelf-hostable 'knowledge converter' that extracts highlighted text, formulas, and images from PDFs (plus Word/Excel/images, WeChat Reading notes, and mind maps) to generate Anki flashcards, using an LLM (Gemini, GPT-4, Claude, etc.) to identify key concepts automatically; also batch-exports Anki decks back to PDF.
HaskellHaskell PDF library supporting on-demand/streaming parsing (without loading the whole file into memory) at both high-level (catalog, page tree, pages) and low-level (xref, trailer, objects, incl. xref/object streams) abstraction; extracts text with exact glyph positions; supports incremental-update editing, basic PDF generation, and partial support for encrypted documents.
JavaContent-analysis toolkit that detects file types and extracts text and metadata from over a thousand file formats (including PDF, DOCX, PPTX, XLSX) through a single parsing interface; supports OCR (via Tesseract), language detection, named-entity recognition, and parsing of embedded documents/attachments. Available as a Java library, CLI (tika-app), or REST server (tika-server).
JavaJava library and CLI toolset covering PDF creation from scratch (with embedded fonts/images); Unicode text extraction; splitting and merging; form field extraction and filling; PDF/A-1b validation via Preflight; rendering pages to PNG/JPEG; printing via the Java printing API; and digital signing.
JavaSubclass of Apache PDFBox's PDFTextStripper that converts a PDF to plain text while preserving the original layout/spatial positioning, making it easier to extract structured data such as tables and form content.
PDF creation/manipulation library: creates PDFs from scratch and modifies existing ones (add/remove pages, edit text); HTML-to-PDF conversion (openpdf-html module); text, fonts, graphics, images, and tables; page layout control; encryption and digital signing (via BouncyCastle); text extraction; PDF-to-image rendering (openpdf-renderer); and PDF 2.0 (ISO 32000-2) features including Brotli stream compression.
JavaScriptSet of tools (per its npm registry listing) that convert PDF files to usable formats for data processing: extracting text from searchable PDFs and performing OCR on scanned/image-only PDFs. Note: its GitHub source repository (nisaacson/pdf-extract) now returns 404 — likely deleted or made private; this description is sourced from the published npm package metadata instead.
Pure JavaScript, cross-platform module to extract text from PDFs.
JavaScriptA general-purpose, web standards-based platform for parsing and rendering PDFs.
JavaScriptNode.js library/CLI (built on Mozilla's pdf.js engine) that converts PDFs to JSON: extracts text (with position, rotation, styling, color, and font metadata), page layout, and interactive AcroForm field data (text inputs, checkboxes, radio buttons, dropdowns, signature fields); also outputs plain-text files, and runs as a REST service or stream-based parser.
JavaScriptNode.js wrapper around PDFtk, Ghostscript, and ImageMagick for PDF manipulation: split/select/reorder/reverse pages, filter even/odd pages, join multiple PDFs, rotate (90/180/270/360°), crop (noted as unreliable), extract text and embedded images, extract metadata/properties, and render pages to PNG at a given DPI.
JavaScriptNode.js module (CLI + API) that extracts text from HTML, PDF, DOC/DOCX, ODT, RTF, XLS/XLSX/XLSB/XLSM, CSV, ODS, PPTX/ODP, XML, Markdown, EPUB, and image formats (PNG/JPG/GIF via Tesseract OCR); wraps external tools (pdftotext, antiword, tesseract, unrtf) and supports password-protected PDFs and configurable OCR language.
JavaScriptVue 2 component for displaying PDFs from URLs, file paths, or binary data: page navigation, 90°-increment rotation, password-protected PDF handling, per-page or range printing, load-progress tracking, text extraction/selection, clickable internal links, and rendering multiple page instances at once.
Simple async Node.js PDF text reader (built on PDF.js) that extracts text along with each item's x/y position on the page.
JavaScriptNode.js library that reads text from PDFs and parses tabular data with automatic column detection and rule-based parsing.
PerlPerl module (PDF 1.0–1.5) for reading and writing PDFs: extract/delete/duplicate pages, get page text/content trees, append/prepend pages from other PDFs, handle password-protected documents and permissions, list/add fonts, list/fill form fields, remove annotations, detect linearized PDFs, remove unused objects, and apply compression filters.
Parses PDF objects/headers to extract text (page by page) and metadata (author, description, etc.), with support for compressed PDFs, Mac OS Roman charset encoding, and hex/octal-encoded text. Does not support secured/encrypted documents or form data extraction.
PHPThin PHP wrapper around the `pdftotext` CLI binary that extracts text from a PDF, with support for a custom binary path, password-protected PDFs, and passthrough of pdftotext options (e.g. layout preservation).
PythonConverts scanned-book PDFs to Markdown or EPUB using OCR (DeepSeek OCR locally, or DeepSeek/Baidu vendor backends), recognizing complex structure including tables and formulas; extracts body text while filtering headers/footers, preserves footnotes/images/assets, auto-generates an EPUB table of contents (optionally LLM-enhanced), and offers configurable table (HTML/image) and formula (MathML/SVG/image) rendering. Runs fully offline as of v1.0.0.
PythonPython library (built on pdfminer, lxml, and pyquery) for scraping PDF data using jQuery-like or XPath selectors: select elements by bounding-box location or text content, bulk-extract multiple fields at once, target specific page ranges, batch-process multiple PDFs, and cache parsed results for speed.
Pure-Python PDF library: split, merge, crop, and transform pages; add passwords/encryption and decrypt (with optional AES support); read and add metadata; extract text; read and create annotations; and attach custom data/viewer settings. Companion CLI tool `pdfly` offers additional command-line operations.
PythonPure-Python CLI (companion to pypdf) with commands including 2-up/booklet page layout, cat (extract/merge pages), check-sign (verify signatures), compress/uncompress, extract-annotated-pages, extract-images, extract-links, extract-text, meta/pagemeta, rm (delete pages), rotate, sign, update-offsets (repair simple PDFs), and x2pdf (convert other formats to PDF pages).
PythonExtracts text (with layout preservation, tolerance settings, regex search, and word bounding boxes), detects and extracts tables (via ruling-line or text-alignment strategies), and provides low-level access to characters, lines, rectangles, curves, images, annotations, hyperlinks, and form fields, with page cropping/filtering, password-protected PDF support, and visual debugging (page-to-image rendering with overlay annotations, incl. Jupyter display). Does not generate, modify, or OCR PDFs.
PythonConverts PDFs, images, PPTX, DOCX, XLSX, HTML, and EPUB to Markdown, JSON, HTML, or chunks, preserving reading order: reconstructs tables (heuristics with VLM fallback for complex cases), recognizes math/equations as LaTeX, extracts and saves images, performs multilingual OCR via the Surya VLM, strips headers/footers/artifacts, and can optionally use an LLM to improve accuracy.
PythonExtracts structured data from invoice PDFs: pulls text via pdftotext, pdfminer, or OCR (tesseract/tesseract4/Google Cloud Vision), then matches fields (invoice number, date, amount, line items) using regex patterns defined in per-supplier YAML templates; exports to CSV, JSON, XML, or renames files based on extracted content; supports batch folder processing.
CLI tool and Python package that extracts metadata (creation date, creator, page count, producer) and detects references (other PDFs, URLs, DOIs, arXiv IDs) within a PDF, with parallel downloading of referenced PDFs, plain-text extraction, and broken-hyperlink detection; outputs plain text or JSON, and accepts local files or URLs.
Pure-Python PDF-1.7 parser/extraction library: text, images, HTML, or hOCR output with exact text location/font/color data; AcroForm and tagged-content extraction; outline/TOC extraction; embedded image extraction (JPG, PNG, TIFF, JBIG2, bitmaps); CJK and vertical-writing support; Type1/TrueType/Type3/CID fonts; RC4/AES decryption; and decoding of ASCIIHex/ASCII85/LZW/Flate/RunLength/CCITTFax compression filters.
PythonOriginal PDFMiner: text extraction with location/font/size data, layout analysis, format conversion (HTML/XML), outline (TOC) extraction, RC4/AES decryption, and multi-font/CJK support.
Personal document manager (Linux/Windows) for scanning, OCR'ing, indexing, and searching paper documents and PDFs; the project's own repository topics list OCR, scanning, PDF support, indexing, and document management as its core feature areas.
PythonPython bindings for MuPDF covering text extraction (plain, rich dictionary with font/size/color/bbox, HTML/XML, raw blocks, table-to-Markdown); embedded image extraction and high-DPI page rendering to Pixmaps; Tesseract-based OCR (100+ languages); reading/writing annotations (highlights, notes, stamps, ink) and redactions (with permanent apply); AcroForm reading and filling; page insert/delete/reorder, merge/split, and metadata editing; PDF creation and Markdown-to-PDF conversion; password protection/RC4/AES encryption; hyperlink and cross-reference handling; and outline/bookmark read-write.
PythonExtracts higher-quality OCR text from poorly scanned PDFs and images (PDF, PNG, JPG, BMP, TIFF) by fixing common scan errors: crops to estimated text regions, deskews tilted pages, and optimizes images before running Tesseract OCR; supports bulk processing (splitting multi-page PDFs) and language-code hints for accuracy.
Neural OCR model (Meta/Facebook Research) that parses academic PDF papers into Markdown (.mmd), understanding LaTeX math and tables; supports single or batch PDF processing, page-range selection, and failure-detection heuristics for problematic pages.
PythonConverts PDF, DOCX, PPTX, XLSX, images, and web pages into Markdown or JSON: strips headers/footers/page numbers while preserving structure, converts formulas to LaTeX and tables to HTML, OCRs scanned/garbled PDFs in 109 languages, handles single/multi-column and complex layouts (incl. cross-page table merging), and extracts images with captions. Offers CLI, FastAPI, and Gradio WebUI, plus Python/Go/TypeScript SDKs; builds on PDF-Extract-Kit's models.
PythonModel toolbox for extracting content from complex PDFs: layout detection (images/tables/text/titles/formulas), formula detection and LaTeX recognition, OCR with text location, and table recognition to LaTeX/HTML/Markdown. Provides the underlying models that MinerU builds its PDF-to-Markdown application on top of.
PythonPython ctypes bindings to Google's PDFium: renders pages to images, extracts text, reads metadata/bookmarks/page properties, creates new PDFs and inserts images/pages, and searches for text — with both convenience helper classes and raw PDFium API access.
PythonOpen-source ETL library that converts complex documents (including PDFs) into clean, structured data for LLM ingestion: PDF text extraction, OCR on scanned pages (via tesseract-ocr/poppler-utils), document layout detection, and partitioning into logical elements via a single `partition()` auto-detection function.
PythonWeb-based tool (built by AllenAI) for collecting human annotations on PDFs, purpose-built for academic papers but usable on any PDF collection: preprocesses PDFs into per-page token bounding boxes (optionally via GROBID), serves them in a browser viewer, assigns documents to specific annotators, enforces login/access control, and stores annotations via an API backend.
Apache-2.0 orchestration framework for document AI: combines layout detection and table recognition (via Detectron2/Transformers), OCR (Tesseract, DocTr, or AWS Textract), and document/token classification (LayoutLM family, LiLT, BERT-style models) into configurable pipelines for scanned documents and PDFs.
PythonApache-2.0 self-hosted document-intelligence platform: manages document collections, automatically parses PDF layout and generates vector embeddings, provides a pluggable microservice analyzer architecture for automated annotation, and a human annotation interface (multi-page annotations) built on the PAWLS annotation format. Exposes a GraphQL+REST API, a Model Context Protocol server for agents, and a React UI.
RrOpenSci package for searching and retrieving full-text academic articles across open-access and subscription journals: Crossref metadata lookup, PDF text extraction, academic-document XML parsing, and text mining.
R bindings for extracting content from PDFs: `pdf_text()` for per-page text, `pdf_info()` for metadata (author, creation date, tags), `pdf_toc()` for table of contents/section headers, `pdf_fonts()` for font info, embedded-attachment access, and `pdf_render_page()` to rasterize pages to bitmap (e.g. PNG/WEBP). Does not handle table extraction (recommends the `tabulizer`/`tabulapdf` package) or OCR of scanned text (recommends the `tesseract` package).
RubyLow-level Ruby library for programmatic PDF access (not a renderer): document version, metadata/info, and page count; per-page text and font extraction; raw page content access; direct PDF object access via ObjectHash; custom receiver objects to walk page rendering programs; UTF-8 text normalization; and Ascii85 stream decoding.
RubyCLI utility and Ruby library that extracts searchable UTF-8 plain text from documents, generates page images and thumbnails in any format, splits documents into single-page or full PDFs, and extracts metadata (title, author, page count).
RubyPDF library and CLI (positioned as a pdftk/Poppler-utils alternative): creates PDFs from scratch with vector drawing, JPEG/PNG/PDF image embedding, and TrueType text with subsetting; a high-level document composition engine (automatic layout, text flow, page breaks, lists, multi-column, reusable styles); modifies and merges existing PDFs; creates AcroForms with Adobe-like appearances; adds annotations, outlines, and file attachments; extracts metadata/text/images/files; encrypts (incl. PDF 2.0 AES-256) and digitally signs; and optimizes file size with object validation.
RubyRuby library built on Apache Tika that extracts text, metadata (as a hash, e.g. Content-Type), and MIME type from PDFs, Microsoft Office, OpenDocument, Apple iWork, and RTF files; accepts local paths, remote URLs, streams, or raw binary data as input.
Tool and library for extracting distinct text areas from PDFs, particularly scholarly article PDFs (e.g. isolating body text, references, headers from the rest of the document).
PDF::Reader-based analysis library (built primarily to support Prawn's test suite, but usable on any PDF) that extracts text as an array of per-operation string fragments and counts document pages.
RubyRuby gem (using ImageMagick and Ghostscript) that extracts a PDF page as an image (e.g. PNG) or as page text, reports total page count, and iterates all pages in batch, with configurable image width/density/quality/colorspace/alpha and custom processor paths.
Ruby-GNOME project's binding of poppler-glib, exposing Poppler's PDF rendering/parsing capabilities (text/image extraction, rendering, metadata) to Ruby. Requires the system poppler-glib library.
RustRust library to read, manipulate, and write PDF files: stable reading with examples for extracting content/metadata/names/text, plus Pathfinder integration for rendering and a companion `inspect-prim` tool for hierarchically exploring PDF structure. Modification and writing support are still experimental.